Ziheng Jiang

According to our database, Ziheng Jiang authored at least 31 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.

Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset.

Haolong Li, Chenghao Du, Ziheng Jiang, Yifan Zhang, Jiawei Ma, Chen Ye

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

High Accuracy Near-Field Electromagnetic Emission Identification System Using Characteristics Recognition and Image Localization.

Yanhua Peng, Hui Xu, Hangyi Zhou, Ziheng Jiang, Dongdong Shen, Shuo Cui, Donglin Su

IEEE Trans. Instrum. Meas., 2023

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.

Ruihang Lai, Junru Shao, Siyuan Feng, Steven S. Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared G. Roesch, Todd C. Mowry, Tianqi Chen

CoRR, 2023

EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement.

Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

DietCode: Automatic Optimization for Dynamic Tensor Programs.

Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko

Proceedings of Machine Learning and Systems 2022, 2022

Federated Remote Physiological Measurement with Imperfect Data.

Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices.

Xin Liu, Yuang Li, Josh Fromm, Yuntao Wang, Ziheng Jiang, Alex Mariakakis, Shwetak N. Patel

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Vitals Measurement.

Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff

CoRR, 2021

Automated Backend-Aware Post-Training Quantization.

Ziheng Jiang, Animesh Jain, Andrew Liu, Josh Fromm, Chengqian Ma, Tianqi Chen, Luis Ceze

CoRR, 2021

Characterizing Structural Regularities of Labeled Data in Overparameterized Models.

Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer

Proceedings of the 38th International Conference on Machine Learning, 2021

MetaPhys: few-shot adaptation for non-contact physiological measurement.

Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel McDuff

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement.

Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel McDuff

CoRR, 2020

Exploring the Memorization-Generalization Continuum in Deep Learning.

Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer

CoRR, 2020

2019

A Hardware-Software Blueprint for Flexible Deep Learning Specialization.

Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Q. Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

IEEE Micro, 2019

Relay: A High-Level IR for Deep Learning.

Jared Roesch, Steven Lyubomirsky, Marisa Kirisame, Josh Pollock, Logan Weber, Ziheng Jiang, Tianqi Chen, Thierry Moreau, Zachary Tatlock

CoRR, 2019

Just-in-Time Dynamic-Batching.

Sheng Zha, Ziheng Jiang, Haibin Lin, Zhi Zhang

CoRR, 2019

2018

VTA: An Open Hardware-Software Stack for Deep Learning.

Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

CoRR, 2018

TVM: End-to-End Optimization Stack for Deep Learning.

Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Q. Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

CoRR, 2018

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.

Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Dimensional Network Embedding with Hierarchical Structure.

Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning.

Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Q. Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Learning to Optimize Tensor Programs.

Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015

Erratum to: Image Fusion by Hierarchical Joint Sparse Representation.

Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang

Cogn. Comput., 2015

2014

Image Fusion by Hierarchical Joint Sparse Representation.

Yao Yao, Ping Guo, Xin Xin, Ziheng Jiang

Cogn. Comput., 2014

Locality-Constrained Low-Rank Coding for Image Classification.

Ziheng Jiang, Ping Guo, Lihong Peng

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Learning open-domain comparable entity graphs from user search queries.

Ziheng Jiang, Lei Ji, Jianwen Zhang, Jun Yan, Ping Guo, Ning Liu

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Combining LVQ with SVM technique for image semantic annotation.

Ping Guo, Ziheng Jiang, Song Lin, Yao Yao

Neural Comput. Appl., 2012

Endless and Scalable Knowledge Table Extraction from Semi-structured Websites.

Yingqin Gu, Lei Ji, Ziheng Jiang, Jun He

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

A study of block-global feature based supervised image annotation.

Jing He, Ziheng Jiang, Ping Guo, Lixiong Liu

Proceedings of the IEEE International Conference on Systems, 2011

2010

Feature data optimization with LVQ technique in semantic image annotation.

Ziheng Jiang, Jing He, Ping Guo

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010